|Publication number||US6924828 B1|
|Application number||US 09/557,855|
|Publication date||Aug 2, 2005|
|Filing date||Apr 26, 2000|
|Priority date||Apr 27, 1999|
|Also published as||US7882115, US20050234893, WO2000065483A2, WO2000065483A3|
|Publication number||09557855, 557855, US 6924828 B1, US 6924828B1, US-B1-6924828, US6924828 B1, US6924828B1|
|Export Citation||BiBTeX, EndNote, RefMan|
|Patent Citations (14), Non-Patent Citations (6), Referenced by (100), Classifications (14), Legal Events (6)|
|External Links: USPTO, USPTO Assignment, Espacenet|
This application claims priority from the following patent applications, each of which is incorporated herein by reference:
The present invention is related to the field of representing and accessing information. More specifically, the present invention is directed to a method and/or apparatus for effectively organizing displaying information using a PC or non-PC information appliance such as a cell phone, other intelligent telephone, Personal Digital Assistant, information-enabled television (WebTV), etc.
A number of techniques have been proposed and developed to use logic devices or information appliances to index, search, annotate, and access information. The need for such techniques has increased dramatically with the advent and increased use of the WWW and extensive data banks of information available on private networks (intranets) or storage devices (such as memory or readable media such as DVD, disks or CDs).
In addition, the expected growth in smaller screen, non-PC information appliances to access the Internet or other information sources will outdate typical methods for accessing information today. For example, many users access or find information on the web using a search engine (such as Altavista, Excite, Google, Lycos, Infoseek, etc.) or through an index list (such as Yahoo). While these services have given tens of millions access to information on the WWW, there are a number of known shortcomings. Generally, all of the services work by providing a listing of sites in response to user input. This listing may include just the name of the sites or may include the name and some additional information, such as the title, the first line of text, and/or some line of text in context with the search word. If the user wishes to learn additional information about a site, the user indicates the URL from the site list and opens the first page of the site. However, depending on the design of the site, the user may have to access several different pages and view or hear a substantial amount of text in order to find information of interest.
In cases where a user is on a small display device, such as a cell phone with a display or a PDA or audio device, opening a web site to scan and locate information of interest can be very difficult. In addition, accessing sites through typing in a URL is not practical for small screen, handheld devices. Reformatting websites for such devices generally requires a content publisher to perform an entire reformatting of web sites or pages specifically for a small screen device.
Some more recently developed technologies have attempted to present web pages to users with additional information.
InXight is designed to present a list of web pages and to display an executive summary to the right of the list when a mouse is placed over a listed URL.
AvantGo and other companies offer “Web Clipping” which is a way for publishing in text-only format that will fit on a Personal Digital Assistant. This service works as a means for re-publishing/re-formatting content for the new devices.
IBM's Intelligent Miner technology classifies organization types and people found in documents and gives standard long summaries of pages.
PassCall (additional information available at http://www.passcall.com/)and others take existing Web pages made for PCs and determine how to display the entire content (i.e. all of the text) of a webpage on a cell phone.
What is needed is a method and/or apparatus that will allow users to quickly review content sources to find information of interest.
Several prior patents have been located that may be related to the invention or may provide background information. Listing of these patents here should not be taken to indicate that any formal search has been completed or that any of these patents constitute prior art. Discovered patents include:
The present invention is involved with organizing information or content in a way that provides new features to a user and that allows for effective user access from different devices with different device characteristics.
In specific embodiments, information can include Web pages or Web sites. Information can also include other information that is stored, transmitted, or presented via a computing device or information appliance, such as a PC, cell phone, Web TV or other information appliance or browsing device.
In further specific embodiments, according to other aspects of the invention, the information organization paradigm of the present invention provides an effective mechanism for storing a pre-browsed and concise summary of information available in hyperlinked format.
In further specific embodiments, and according to other aspects, the information paradigm of the present invention is involved with an independently innovative system for automatically extracting summary notes from information sources in a way that allows presentation in a flexible manner.
In further specific embodiments, and according to other aspects, the information paradigm of the present invention is involved with an independently innovative system for improving user searching by searching in extracted information notes rather than in raw source documents.
In further specific embodiments, and according to other aspects, the information paradigm of the present invention allows mock surfing or presurfing of extending information by automatic link surfing.
In further specific embodiments, and according to other aspects, the information paradigm of the present invention allows grouping extracted notes into folders for easier user access.
In further embodiments, the paradigm of the present invention may be used along with other innovative components to enhance searching, automatic parsing, pre-browsing of linked documents, etc. These additional and independent innovative components are not necessary for operation of the invention as just described and will not be present in all embodiments.
The invention and various specific aspects and embodiments will be better understood with reference to the following drawings and detailed descriptions. In different figures, similarly numbered items are intended to represent similar functions within the scope of the teachings provided herein. In some of the drawings and detailed descriptions below, the present invention is described in terms of the important independent embodiment of a system operating on a data network. This should not be taken to limit the invention, which, using the teachings provided herein, can be applied to other situations, such as cable television networks, wireless networks, etc. For purposes of clarity, this discussion refers to devices, methods, and concepts in terms of specific examples. However, the invention and aspects thereof may have applications to a variety of types of devices and systems. It is therefore intended that the invention not be limited except as provided in the attached claims.
Furthermore, it is well known in the art that logic or digital systems and methods can include a wide variety of different components and different functions in a modular fashion. Different embodiments of the invention can include different mixtures of elements and functions and may group various functions as parts of various elements. For purposes of clarity, the invention is described in terms of systems that include many different innovative components and innovative combinations of innovative components and known components. No inference should be taken to limit the invention to combinations containing all of the innovative components listed in any illustrative embodiment in this specification.
The functional aspects of the invention, as will be understood from the teachings herein, may be implemented or accomplished using any appropriate implementation environment or programming language, such as C++, Cobol, Pascal, Java, Java-script, ActiveX, dynamic HTML, COM, etc.
All references, publications, patents, and patent applications cited herein are hereby incorporated by reference in their entirety.
In order to facilitate description, the following discussion will describe the present invention primarily in terms of accessing information from Web pages or sites available over the WWW. It will be understood to those of skill in the art from the teaching provided herein, however, that the invention also may be used to access sets of data, such as data stored on a private network, or on a disk drive, CD, DVD, tape, or other storage media The invention should therefore not be taken as limited except as provided in the attached claims.
Unless the context requires otherwise, the following terms can be understood to generally have the meaning indicated below when used herein.
Category—as used herein, refers to a category determined for a unit of data for a note. Categories may be such things as Key Fact, Money, Company, Timeframe, Key Number, etc. A single source may be extracted into several discrete items of information (notes), with each note associated with one or more categories. Using different terminology, a category can also be referred to as a field or field name, as is known in the database art.
Classification—a general class or type associated with a source or content, which in some specific and independent embodiments may be performed automatically and in other embodiments may be assigned manually. Classification of a source may (but need not) be performed in conjunction with extracting notes from a source. In specific embodiments of the invention, classification of a source may influence the extracting into notes and the analysis performed during extracting into notes may assist classification. Classification of a source may aid automatic parsing of a site by providing a different collection of parsing rules. For example, a sites classified as News Services often will have very different formatting and parsing considerations that sites classified as Company Website.
Folder—a collection of notes or of Surfnotes from one source or many sources for quick viewing grouped by source, topic, search term or other item.
Note—An item of data extracted from a source. Notes may consist of a single word or name, a sentence, a group of sentences, and/or other items from a source such as a URL, image, or audio or video clip. Using different terminology, notes may also be referred to as values.
Source—raw, unextracted information, documents, websites, webpages, or other data, to which the extracting and/or classification techniques of the present invention are applied. This information may be formatted in HTML, as text documents, or other formatting. Source an also indicate a locator (such as a citation or URL) for that information. Also referred to as content.
Surfnote—Surfnote™ is a trademark name referring to a particular branded process for creating an extracted or summary note. Surfnote, as a noun, may also refer to a set of extracted notes by such a branded process.
Template—an indication of how to present information to a user. The template may change based on user request or purpose or based on the particular access device. For example, a user purpose indicating a request for price information, may present only notes related to price or may place such notes above other notes. While a different user, accessing the same content, with a selected user purpose of locating potential customers, might not access price notes at all and may instead access customer addresses ahead of other notes. As a further example, a template on a very small display device (such as a cell phone) may only display one note at a time or a present a very few choices, while a viewer on a larger display may see many notes. In various embodiments, templates may be used by a server-side process to influence the format and content downloaded to a particular client or by client-side processes to arrange and present received notes data.
1. Organizing and Accessing Content
In a specific embodiment, aspects of the invention can be understood as a new way of organizing information. One advantage of this new information paradigm is to facilitation flexible presentation or access of information. In further aspects, specific embodiments of the invention enable easy and consistent navigation on different presentation devices, including various sized display screens or audio access devices. Display screens can be small, such as for a cell phone, medium, such as for a PDA, or a large such as for a PC. Other presentation devices can include audio interfaces for use over a telephone or for sight-impaired persons. The notes techniques of the present invention can also be used to extract information that may be imported directly into other documents or logic modules, such as databases, spreadsheet programs, or documents.
For the purposes of this discussion, the information organization techniques and devices of the present invention will be described with reference to particular information presentations. It will be understood from the teachings herein, however, that the present invention encompasses the underlying innovative techniques for organizing and categorizing information sources that make the illustrated displays possible.
According to the present invention, underlying information content may be presented as categorized, summary notes. In specific embodiments, a note is associated with a category. In one embodiment, each note may be a numbered entry in its particular category. Each note in each category is a piece of information from an underlying source. Underlying sources can include documents, web pages, a number of hypertext linked pages, databases, web sites, a number of sources returned in response to a request or query, etc. In specific embodiments, note text is quoted directly from the original source, thus avoiding problems that can arise when a summarizer attempts to translate or paraphrase original content. For sentence notes, the entire sentence is pulled off the page and placed in the appropriate category. It has been determined that selecting entire key sentences provide a surprisingly good representation of an entire page through rules applied according to the invention. Notes can contain sentences, words, graphics, or playable files, each extracted from an underlying source according to one or more methods. In various specific embodiments, notes may be extracted from sources in a variety of ways, including, but not limited to: manual summary, specific indications or tags placed in sources, or entirely or in part by using an automatic rules-based parsing.
Together, as will be apparent from the teachings herein, notes provide an abstract or summary of the underlying content that can be effectively accessed by a user, in a similar manner, on display screens of widely varying size or different presentation devices. Thus, the information handling of the present invention allows a user interface that provides similar and familiar interactions for a user on very different devices. This display and content organization paradigm of the present invention further, in specific embodiments, allows for a highly granular and interactive display of source content.
1.1. Example Display 1
An example display according to a specific embodiment of the invention is shown in FIG. 2. This example may be understood as a display of a part of a set of notes showing a number of different notes in a number of different categories and providing user-selectable indications directing display of additional notes or directing display of other content. This display is illustrated to both illustrate the presentation aspects of the present invention and the underlying information representation techniques of the present invention.
According to the invention, notes such as shown in
As discussed above, notes as shown in
A notes system according to the invention may have many more categories that will operate in similar fashion to the categories shown in FIG. 2 and that may be variably accessed according to different templates or different user requests. Categories may be defined that are particularly applicable to certain professions, information sources, or user purposes. Medical content, for example, might include such categories as Pharmaceuticals, Symptoms, Diseases, Treatments, Outcomes, etc. Consumer content, for example, might include such categories as Reviews, Price, Warranty, Shipping, etc.
A system according to the invention may have many more categories that will operate in similar fashion to the categories shown in these figures and provide additional types of content from web pages. Different views composed of different categories are dynamically presented to users based on user requests or on the content of the page.
For different structured sources, categories can change as well. For example, on a news story, there may be several categories such as: source, key facts, key numbers, etc., while on a small page there may be only three categories of surfnotes: source, short text(page preview) and page links.
Systems according to various specific embodiments of the invention can display one category at a time across several web pages or sites or multiple categories per page that are best suited to the page or are based on a user's preferences. Within the categories can be 0, 1, or multiple entries. Users can change presentation preferences on category basis by not displaying certain categories, changing the order of category display, only displaying certain categories, etc.
Which categories are associated with a particular content may be determined or indicated manually for a source, or may be determined during site classification or content parsing according to further aspects of the invention as described below.
1.3. Example Interactive Navigation
According to a further embodiment, a display according to the invention includes user selectable indications to provide enhanced interactive presentation. Among these are notes navigation indications 16. These navigation indications can take a variety of forms in different embodiments, such as buttons, icons, arrows, etc., but illustrated in this figure is an arrangement of selectable numbers that indicate a number of a current note in a category, indicate a total number of notes, and allow a user to display a next note, a previous note, or a specifically numbered note.
In one embodiment, for example, a user may indicate either the “2” or the next arrow (→) just to the right of “Key Facts” to display the next note in that category, as shown in FIG. 4. Similarly, a user could indicate an appropriate arrow or number to display additional “Key Number” or “Time Frames” notes as shown in
FIG. 2 through
In a particular embodiment of the invention, a user may select to view just one next note, and that next note is displayed while other information on the display remains static. In a different embodiment of the invention, an indication may be provided that causes a display of a next note (when available) in all displayed categories.
As will be understood from the teachings provided herein, a wide variety of different display and interactivity options are possible in accordance with the content organization and access paradigm of the present invention.
The particular example shown in
A title area 20 displays a title from the source 21, a source identification 22, and the date of publication 23.
1.4. Example Display 2 (Cellphone Display)
1.5. PDA Display
From the previous teachings, it will be understood to those of skill in the art that the information organization paradigm of the present invention provides a way for interactively presenting information that is adaptable to both a relatively large screen display (such as a PC), a very small screen display (such as a cell phone) and also to a medium screen display, such as a personal digital assistant (PDA). Depending on available display size, a PDA display for a larger screen size may be presented similar to the illustration of
1.6. Facilitating Multi-Platform Presentation
As a further example of an application for information organizing and presentation according to the present invention, the present invention has unique advantages for interactively presenting data formatted for the Internet in a audio format, either over a voice-enabled networked information appliance or a standard telephone. The general method illustrated in
Because of the granular nature of the data organization and presentation paradigm according to the invention, a user easily learn, via voice communication, that a content source has, for example, 34 notes, in five categories. The user can then, through voice commands or keypad selection, elect to hear subsets of information of interest, such as “all notes in the third category,” or “first note in each category.” Thus, it will be seen that the notes paradigm according to the invention provides a method that allows similar and easily access to information content, whether viewed on a display or accessed over a telephone. Standard content formatting (such as HTML) does not provide this feature and is not easily adapted to lower bandwidth presentation channels. When the display and organization paradigm described above is combined with automatic parsing, as discussed below, the invention can provide a mechanism for effectively presenting content formatted in a static, large-display, format (such as HTML) and presenting such content over a voice link.
In a further embodiment, the invention may use a set of templates to determine presentation of notes information to a user. Templates may be used to guide presentation of a single note set on various access devices or may be used to alter presentations in response to user preferences or selected user purposes. Through use of templates, a presentation system according to the invention may present a set of notes in a wide variety of presentation formats.
1.6.2. Page Preview
As an example of an alternate presentation, in further embodiments, when a source document contains very little text, or text with non-substantial content, or is a preliminary page guiding the viewer to further content—a display according to the invention can present a different view of the content. Such a view, for example, may show just the important links displayed on the Web page and a Page Preview. (as shown in
1.7. Implementation of Interactive Presentation
From the teachings provided above, it will be apparent to those of skill in the art that there are a number of possible ways of implementing an interactive display according to the invention and a number of possible ways of implementing an underlying data organization paradigm according to the invention. One particularly presentation system advantageous method involves using extended HTML with embedded active controls, included undisplayed text. In such an implementation, a single downloaded file, for example, can include all or a large subset of available notes, even though only a portion of the downloaded notes will be displayed at any one time. In this way, a user interacting with a presentation interface, such as shown in
A data paradigm according to the invention can be implemented in any general purpose programming language, such as C, C++, FORTRAN, PASCAL, JAVA, etc., or in any programming language able to represent data, such as SQL, ACCESS, etc.
1.8. Further Embodiments
Innovative methods and systems both for organizing and for presenting content have therefore been described. From the preceding teachings, it will be seen that this content organization method has advantages for presenting content on a variety of devices, using a similar user interface. The invention has thus far been described in terms of general methods and specific examples of presentation devices. The previous description is believed sufficient to allow an ordinary practitioner in the art to make and use the invention. It will be understood to those of skill in the art from the teachings provided herein that the described invention can be implemented in a wide variety of specific programming environments and logical systems (such as UNIX, Windows, Solaris, Oracle, etc.) using a wide variety of programming languages (such as HTML, SQL, Visual Basic, Pascal, C++, Basic, Java, etc.) and wide variety of file formats.
What follows are descriptions of further innovative features and methods that may be included in a specific system or method according to the invention. This following discussion is included, in part, in order to disclose particularly preferred modes presently contemplated for practicing the invention. This following discussion also includes independently innovative devices and methods that may advantageously used in combination with a content organization and display system as previously described. It is intended, however, that the previous discussion represents an independently innovative embodiment of the invention and that the claims not be limited by additional elements described below, except where expressly provided. It is further intended that the attached claims be read broadly in light of the teachings provided herein. Where specific examples are described in detail, no inference should be drawn to exclude other examples known in the art or to exclude examples described or mentioned briefly from the broad description of the invention or the language of the claims. It is therefore intended that the invention not be limited except as provided in the attached claims and equivalents thereof.
In a further embodiment, the invention provides a method for organization multiple note sets into folders. While folders are not necessary to practice the invention, folders can create additional convenience for users to access or organize note sets. Note sets may be grouped automatically or manually into folders according to such characteristics as their source, the topic of the page, or a search result. A system according to the invention can also allow a user to save a note set into a folder.
Folders further may provide a user with a series of browsing choices from which the user may choose, such as, Today's News, Topic, Source, or Company Insights. Each choice indicates a method of browsing the note sets by grouping according to different folder categories. “By Topic” allows a user to see notes of articles from various internet sources, grouped according to topic. “By Source” displays lists of notes grouped by their source. “Company Insights” displays lists of notes grouped according to company mentioned in those notes.
In a further specific embodiment, Topics, Sources and Company names in Company Insights appear in alphabetical order. For Sources and Company Insights, a left-margin alphabet menu bar can allow a user to skip ahead in the alphabet to folders beginning with any letter, and another menu box lists all folders beginning with that letter. For Topics, a left-margin menu box lists all topics in alphabetical order. A user can click on any entry in the left-margin menu boxes to jump directly to those folders. The main screen only displays about four folders at a time. Each folder initially displays up to four headlines or titles of note sets—if there are more note sets in the folder, the user can scroll up or down using scroll arrows at the bottom of the folder. An example is shown in FIG. 20.
In a further embodiment, folder navigation options may be presented on a default display for a particular template. For example,
As with note sets, organizing content into folders enables easier display on very small screen devices and other presentation platforms. Navigation of folders on a cell phone is also menu-driven—the user chooses a browsing method (Today's News, Company Insights etc,) and that choice displays the relevant alphabetized menu of folder choices. Based on user choices Surfnotes displays a folder as a list of numbered headlines, which can be selected to view the relevant note sets.
3. Automatically Parsing Source Content to Extract Notes
In further specific embodiments, a method or system according to the present invention may involve intelligently and automatically extracting information from HTML pages or other content (such as documents encoded in ASCII, MS Word, RTF, etc.) using a variety of automatic parsing rules. This aspect of the present invention, as discussed below, may utilize one or more rule sets and may utilize rule sets in combination with other parsing techniques, such as specific indications or manual parsing.
In a further aspect, embodiments of the invention provide additional advantages because the results of parsing are directed to identifying and then quoting information from original source content. Thus, parsing and extracting information according to this aspect and embodiment of the present invention can avoid problem encountered in many prior techniques that attempt to translate content or understand underlying meaning. In other words, in embodiments of the present invention, parsing rules are used to identify key content items (such as sentences, names, phrases, images, playable files, or words) from original source content and make those items more easily accessible to a user.
According to further aspects, specific embodiments of the present invention combine aspects of automatic parsing with the data organizing and display paradigm discussed above to give users an efficient and effective method for accessing data from diverse content sources. According to various specific embodiments of the invention, parsing is somewhat related but also some independent from creating categories. According to one embodiment, an important step in parsing a source is creating notes for that source, and during parsing a note will usually be associated with one or more categories.
A wide variety of different specific parsing rules, using known techniques and innovative techniques discussed below, may be employed according to this aspect of the invention. What follows is description of specific parsing techniques that may be advantageously employed to perform automatic note extraction according to the present invention.
3.1. Parsing based on sentence structure and punctuation
In specific embodiments of the invention, a parsing process uses rules keyed to sentence structure to identify key sentences in a source. By using sentence structure, it is easier to adapt a parsing routine according to the invention to work with different human languages. Work done in conjunction with the present invention also suggests that sentence structure rules provide better results than using semantic rules alone.
In specific embodiments, rules may be built on structural identifiers, such as sentence length, title words, location, commas, semicolons, etc. Rules may also take into account contextual frameworks, key word frequencies, frequencies of proper nouns and numbers, length of the sentence, and the size of the words, etc. In one embodiment, key terms are pulled by indicators such as quotes, identification of proper nouns, abbreviations, parenthesis, etc.
In further specific embodiments, rules may be constructed with a weighting system to evaluate structure, as is known in the art. Weights can be assigned to weighted rules based on any technique known for weighting, including manual determinations or determinations using probabilistic model training (such as Markov Models) as is commonly done in speech recognition and other rules-based systems.
3.2. Source Layout parsing
In a further aspect, the invention may utilize layout parsing to determine what constitutes the primary text or functions of a page, and what is extraneous or secondary text. Layout parsing, for example, determines what is in an extraneous sidebar, what is part of advertising, what is part of help text, etc. These types of text may not be of interest to a user looking for key or specific content. Today, most search engines do not distinguish between primary and secondary information on a Web page nor between primary and secondary links when spidering or crawling the Web. As a further example of layout parsing, in a particular embodiment, a rule set specifically addresses the difficult problem of determining what is the first and last sentence of the main body of text or what is the beginning and end to the main body of information.
One initial task involved with layout parsing is interpreting the markup language or encoding language in which the document is written (such as HTML, XML, RTML, RTF, MS Word, etc.) to correctly identify information that is of interest for further parsing. This type of parsing must be done by all web browsers to correctly display page content, even those that do not attempt to further extract information on a page.
As a further example, a layout parsing routing may identify links on a news site. The parser will then identify which links are stories on the news site and which are advertisements or other non-news links. To do this, the parser analyses average length of the links and other structural and semantic characteristics to determine the primary links on the site.
A layout parser in a further embodiment also may identify and find search engines on Web sites so that it can automatically perform searches on sites without prompting a user. Similar to finding search forms, the system can find other forms that require user actions such as entering desired plane destinations, address information, etc.
3.3. Example Parsing Rules
Below are examples of parsing rules that may be used in a parsing routine according to specific embodiments of the invention.
3.3.1. Key Sentences (also referred to as Key Facts)
In one embodiment of parsing, an important factor in determining a Key Sentence is the writing style of the sentence. For example, one innovative rule according to the present invention predicts that longer or more punctuated structures are more important. In specific embodiments, Key Sentences are indicated by sentence characteristics including such things as: (a) the length of the sentence; (b) the location of the sentence; (c) the length of the page; (d) the number of title words in the sentence; (e) whether the title uses relevant words; (f) the number of words per sentence on average; (g) the number of proper nouns; (h) the number of important words in the sentence; and (i) other structural and language factors. In a specific embodiment, once all of these characteristics of sentences are analyzed and scored, a cumulative importance score for each sentence is determined. Sentences having higher than a particular score may then be included in note set as Key Sentences, arranged in scoring order, or in the same order they were in the original content.
Appropriate particular weighting scores for different characteristics, and appropriate ways of combining weight factors, can be specified manually by a system designer or can be determined or refined using probability analysis (such as Markov Modeling) run on source content with predetermined weighting scores. In various specific embodiments of the invention, sentence-structure parsing rules may have different weights that could change based on such things as: user context or purpose; the classification of site being viewed; etc.
In a further embodiment, other sentence-based categories use the rules for Key Sentences to find the most significant sentence with a further condition, such as, containing a currency symbol or the currency indicating word (for the money category); or a number indication or time indication as discussed below. In various options, sentence designated as a Key Number or Time Frame or Money will not be designated as a Key Sentence, though in other embodiments, a sentence may be included in both categories. In various embodiments of rules sets, Key Sentences scores may be computed for all sentences first and then other sentence rules may be applied. Alternatively, a rule set may look for other sentence categories while identifying Key Sentences.
3.3.2. Key Numbers
Key Numbers are identified from Key Sentences by rules such as that the highest number that contains (in order of priority): (a) a number followed by term billion, million, thousand, hundred; (b) a number followed by % sign, or word “percent”; (c) a number followed by words important in business context, e.g. customers, products, etc.; and (d) any number that isn't in the money or time frame category.
3.3.3. Time Frame
Key Sentences with expressions associated with time spans such as “from ______ to ______” or word indicating time such as years, days, months, duration, etc., may be associated with a Time Frame category.
In accordance with further embodiments of the invention, word and phrase-based category notes are identified by reference to databases or indexes of relevant words. Additional syntax based rules, as discussed below, may also be used in the identification and extraction of these notes.
Proper nouns are identified by reference to databases and based on capitalization and other syntax. Proper nouns are examined to analyze if they are a company by checking against a database such as Fortune 2000 companies and/or other business databases. In specific embodiments, the database may gain new entries everyday, as new content is parsed and suspect names are presented to a human operator or other checking routing for addition to the database.
To add to the database of companies, or to flag suspect names for further verification, several rules may be applied to find additional companies. For example, any proper nouns followed by stock ticker symbols may be defined as a company. A further example rule is that a set of proper nouns in a string after the word ‘with’ may be defined as a company as long as there are also proper nouns before ‘with’ (which will be defined as a person). Another example is words and proper nouns that end with “.com” will also be defined as companies. The system may look for other statistical indicators of a company using Markov models or other probabilistic analysis and looking at other surrounding words, punctuation, repeats, and location in a sentence.
Markov models are rule dependent and help determine the best scoring systems for maximizing the effect of the rules. The problem of proper noun “organization identification” is a known statistical problem with a number of other techniques identified that may be used in a system according to the current invention.
In a further specific embodiment, a parser can improve on the accuracy of previous methods in this area by classifying sources (as discussed elsewhere herein) and therefore increasing the likelihood of content specific factors important for finding companies. For example, knowing a site is a business news site increases the chances that a suspect word is a company if the word is repeated in an article and article headline, whereas a suspect word repeated in a medical journal in the headline and article is not as likely to be a company.
Proper nouns that are preceded by the word ‘the’ are sometimes indicators of products and services. In a further example rule, proper nouns that are one word, that are not companies and that are not mentioned within a continual set of proper nouns are highly likely to be products. In a further rule, company names found that have a continuous string of proper nouns following the names are products unless the Company name has 's after it and there are specifically 2 proper nouns following the possessive s (in which case, the name is identified as a person). These rules again may be perfected using Markov statistical models. The invention in a specific embodiment may also use a database of Products and Services.
3.3.6. Key Terms
In a further example, Key Terms may be identified as a word or words that contain: (a) 1, 2 or 3 words in single or double quotes; (b) a proper noun followed by parenthesis containing one or more words or an abbreviation; (c) proper nouns on the page that are repeated more that a determined number of times; (d) bolded or italicized terms; or (e) other factors that determine special terms.
Paragraph headers, bold text, and numbered headers followed by one or more paragraphs may be parsed into this category. Rules that identify text for this category may take advantage of formatting tags or other information in the original source content, such as HTML tags in HTML text or style identifications in MS Word. These rules also may determine heading information for underlying document structure or formatting. For example, a phrase in a line separated above and/or below by white space from full paragraphs is very likely to be a header or title.
Rules identifying notes in this category will link to a database of common people names, famous business people and their titles and companies, politicians and their titles, and celebrities and their titles. Other rules as known in the art may be used to find people. For example, if a proper noun is not a company, product or place, it may be flagged as a likely person. A further example rule is that two proper nouns preceded by the word ‘with’ will also be listed in the people category. Another example is that two proper nouns followed by ‘from’ and a company also a person.
As in other categories, rules may be generated or perfected using training data and Markov models to determine a scoring systems for understanding with what certainty a word object is a person. In addition, certain site classifications are more likely to list people and therefore a site classification system according to a further embodiment of the invention can be used to alter the scoring system.
This can be listed as a separate category to go in several types of multiple category, templates or be under an optional category called “Details”. Words that begin with www or http or underlined words in the middle of the web page (not at the very top or bottom of text, this is usually contact info, etc for the host site) will be listed in this category. The links are analyzed for common length, font size, location and other factors to determine their importance in this category. Links from a page are listed with “page preview” category as a preview default for any Web page.
3.3.10. Other Rules and Other Parsing Features
A rules processor according to the present invention may include a variety of parsing rules, such as the example rules provided, and may also include other rules for syntactic or semantic parsing as known in the art of language parsing. A parsing rule set may be continually augmented by additional rules that may be identified or developed as useful for parsing source material of interest. A parsing rule set may have other rules, included rules that provided for limited translation such as a rule to modify pronouns in extracted sentences so that they are understood. For example, an extracted Key Sentence may read “They [IBM] purchased Lotus for . . . ” where “They” is determined by a parsing routine to be “IBM,” and “IBM” is therefore added in parenthesis into the extracted note.
While many previous efforts have been directed to automatically parsing computer encoded information, in this aspect, as will be understood from the teachings provided herein, the present invention provides advantages over previous efforts by using parsing steps that may involve both natural language and layout parsing and that may be performed in an interative fashion, such that some aspects of natural language parsing will help determine the layout parsing and vice versa.
In a further specific embodiment, some parsing tasks may be improved by performing parsing iteratively. Once the parser has identified key sentences, for example, looking for company names inside those key sentences has a higher chance of success.
In a further embodiment, it will be seen from the teachings provided herein that individual notes can each be understood as responses to a “mini-search engines” performed on source content. Each parsing rule is effectively a search engine that extracts specified content from the searched sources. Understanding the rules as small searches suggests additional rules for inclusion in a parsing routine. Thus a category associated with a consumer web site might search for terms such as “rebate” or “lowest price” to return notes relevant to that category.
4. Classifying Websites And Webpages
According to a further aspect of specific embodiments of the invention, content sources (such as Websites) may be assigned to a classification. A classification of a particular website may be used to assist parsing, by providing different parsing rules or different values for weighted rules. A classification of a content source may also determine, or help determine, the categories assigned to notes extracted from that source. According to this aspect of the invention, better and more efficient parsing can be accomplished by having different parsing-rules processing for different classes of content sources. In prior art systems, parsing rules typically are either applied to all sources or different parsing rules are developed for particular sources. In this aspect of this embodiment, the present invention, achieves advantages both of having a few sets of standard parsing rules and of providing rules adapted to particular site types. Assigning content sources to classes aids in further analysis of a page (by natural language and layout parsing) and also may aid in display of a page. According to the invention, it has been found that assigning content source to various classes and then using separate sets of parsing rules for different classes results in more effective parsing of web pages.
In a specific embodiment, classifications include one or more of the following: Industry News, General News, Company Site, Company Overview Site, Commerce Site or Portal, Government Site, Consumer Review Site, Medical Information Site, and Contact Info or Utility Site and others.
In specific embodiments of the invention, content sources are assigned to classes manually, after a review of a content source by a human operator. In alternative embodiments of the invention, a set of classification rules may be employed to aid human review or to automatically classify a website.
In various specific embodiments, structural and semantic frequencies of content may be used to guide or automatically determine a classification for a content source. For example, Company websites often repeat links on home pages and have specific links associated with companies such as “investor relations” and “careers.” News sites often have several internal links that are similar in length and are numbered as opposed to titled. E-commerce sites usually have a shopping cart on a high level page. In a similar manner, a classifier according to specific embodiments may use rules to identify site types.
Classification rules may be derived manually or by using training data as will be understood in the art from the teachings provided herein for automatically deriving rules. The classification process identifies several structure and semantic features of these sites/pages and applies probabilities for automatically classifying random pages and sites. It also uses search and reverse search link information.
5. Link Search
According to specific embodiments of the invention, in a further aspect, a link search process will take links from a content document and prioritize them based on various factors, such as the link's position in a document. Links primarily from the main text may be evaluated, in particular embodiments, and may have notes extracted from them and included in a note set for a particular page. For example, a long news story may use a link to access a next page of the story. The Link Search will analyze this link and include the next page of contents in the note set for the source.
In a further embodiment, this aspect of the invention may extract notes from links in a web page or other content to “pre-surf” links provided in a page and can use notes from the extracted links to present additional relevant information to the user.
In this aspect, the invention may crawl the main links on the linked page and continue this process for two or more links deep. In one embodiment, the present invention can go all the way to and past nineteen links or ‘generations,’ the maximum necessary for the Web according to some studies.
In this aspect, the present invention condenses the link pages and can perform a quick spot check match of the condensed page and gives it a score in order to maximize speed when necessary. The scores are based on any one or more matches of the following: key search terms, related secondary terms based on user purpose as seen in primary facts from the Web page, and matching key facts, key terms, people, and additional specific categories of information of the page in review as compared to the primary content page. The link system may also use similar or the same components used for initial notes searching. The present invention can score the entire Web page or the condensed note taken from the page.
6. Searching Using Categories
In a further embodiment, categories according to the invention may be used for more effective searching. For example, a user may be given the option of selecting in which category their desired information preferentially will be found. According to an embodiment, the a category search routine according to the invention can ill weigh search terms that are found in the indicated categories with higher weights. As discussed above, a user can also view pages one category at a time which is particularly useful and fast for search results. In this embodiment, a system according to the invention leverages its ability to parse only the main content from Web pages and the ability to summarize and categorize extracted notes from returned pages.
6.1. Example of Searching Using Categories According to the Invention
It will be understood from the teachings herein that searching combined with the parsing and display features according to the invention allows a user to quickly find specific key facts or specific answers such as market size, etc. Extracted results can be accessed one category at a time which makes finding specific answers across hundreds of pages more quickly.
The present invention has the advantage of displaying its data results on any size screen on any information device. An additional problem the present invention solves is presenting a URL on request to cell phone or other small screen device users. The system works similar to the advanced search engine described above. The system has a URL input form that is similar to the search form. It requests the URL, a search term, and an optional user purpose. The system goes to the requested Web page or site and identifies the page. The system analyses the URL line itself and the pages' contents for structure and for the search term and secondary terms provided by the system based on the user purpose or task. If the page is deemed suitable or usable for presentation, then it is presented. If not, the system searches for a search field on the requested site and automatically enters the user's search term. The results are then Surfnoted and treated similar to the search engine discussed above. If there is no search engine on the page or the system cannot use the search engine, the link engine methods described above are used. The system may use categories of information from different pages within the site to present the user. The system can use a cache of the Website for searching. The system can also use previous URL history requests so that future requests will only require a URL from the user.
The system can also allow a user to enter multiple sites to be searched with the same search word. For example, “new car models” could be a search word entered to be searched on Ford, GM, Honda, and Toyota sites and the top search results from each could be returned.
7. Other Features of Specific Embodiments
7.1. Action Items
Several Websites, such as e-commerce sites, include less text and more activities for the user. In this case, the present invention can mimic or create an alternative interface within the present invention and the present invention can bring its advantages to a Web-based transaction.
Note sets may also include a category called “Actions,” which may have notes indicating such actions as “Send Email”, “Place Order”, or “Initiate Telephone Connection.” In a voice contact, a user can elect to switch to a live person using an action category on the note. In addition, a company can allow a user to access either audio or web-based note sets to a user while they are on hold or prompt them to access notes as opposed to talking with a live person. Notes may contain companies' existing 800 numbers or phone numbers as an alternative to URL address names. A system according to this aspect of the invention may using automatic number identification to identify an incoming access device as a telephone (or cell phone). The system may also use its request forms for URLs, searches and news or cell phone cookies to know the original user device and present live website options outside of text or picture data. As discussed above, a system according to the invention may audio play category answers rather than displaying text. The invention facilitates implementing an entire system interface as voice recognition and response because of its abbreviated and organized nature.
7.2. Images and image Generation
The present invention is capable in specific embodiments of delivering the notes in color and with images from the original Web page. Images are also used for representing text or other content from a page. For example, in a specific embodiment, if the present invention determines that a site contains consumer reviews, the invention can use pattern matching and key words to determine whether the reviews are positive or negative. Then the present invention can take that information and make representative pictures that describes the text. For example, a negative review of a product would show as a thumbs down; a positive review as a thumbs up. Other images can be produced that are based on the categorizations mentioned earlier, those of the site, the user purpose, those of the content within the site, and combinations of all categories.
8. Example Systems According to Various Embodiments of the Invention
From the teachings provided herein, it will be apparent that the invention can be embodied in a wide variety of specific information handling systems. The example systems here describe example components according to particular embodiments of the invention. Other systems, with different components, may also embody the invention.
In a standalone embodiment, elements 500-520 may all reside on a single information device, such as a PC. As will be understood from the teachings herein to persons of skill in the art, a PC can include logic modules that can perform the functions of the elements shown in FIG. 14.
In a further embodiment,
In either discussed implementation, the operations of 500, 505, and 506 may all take place prior to any specific user request for information communicated via 520. In this embodiment, the invention therefore allows “pre-browsing” and extraction of information sources into more easily accessible notes that can be made available to a user.
As will be understood in the art, the functional block elements shown in
In an example pre-surfing system, a few high-interest sites may be selected and grouped into a number of services and content from those sites may be stored in 506. A Web Index and News Service, for example, may find, categorize and deliver information from within online news sites and other news-type Web pages. A Company Insights Service may provide timely worldwide overview of any requested company in notes set format, gathered from a number of sources.
9. Embodiment in a Programmed Information Appliance
The invention also may be embodied in whole or in part within the circuitry of an application specific integrated circuit (ASIC) or a programmable logic device (PLD). In such a case, the invention may be embodied in a computer understandable descriptor language which may be used to create an ASIC or PLD that operates as herein described.
The invention has now been explained with regard to specific embodiments. Variations on these embodiments and other embodiments will be apparent to those of skill in the art. The invention therefore should not be limited except as provided in the attached claims. It is understood that the examples and embodiments described herein are for illustrative purposes only and that various modifications or changes in light thereof will be suggested to persons skilled in the art and are to be included within the spirit and purview of this application and scope of the appended claims. All publications, patents, and patent applications cited herein are hereby incorporated by reference in their entirety for all purposes.
|Cited Patent||Filing date||Publication date||Applicant||Title|
|US5257366 *||Mar 27, 1990||Oct 26, 1993||International Business Machines Corporation||Query language execution on heterogeneous database servers using a bind-file bridge between application and database languages|
|US5649186 *||Aug 7, 1995||Jul 15, 1997||Silicon Graphics Incorporated||System and method for a computer-based dynamic information clipping service|
|US5708825||May 26, 1995||Jan 13, 1998||Iconovex Corporation||Automatic summary page creation and hyperlink generation|
|US5748930||May 1, 1996||May 5, 1998||Intel Corporation||Method and apparatus for interfacing with a host computer system sharing tasks with another user on a client computer system|
|US5784608||Jun 21, 1996||Jul 21, 1998||Sun Microsystems, Inc.||Hypertext information retrieval using profiles and topics|
|US5842206||Aug 20, 1996||Nov 24, 1998||Iconovex Corporation||Computerized method and system for qualified searching of electronically stored documents|
|US5864863||Aug 9, 1996||Jan 26, 1999||Digital Equipment Corporation||Method for parsing, indexing and searching world-wide-web pages|
|US5884035||Mar 24, 1997||Mar 16, 1999||Pfn, Inc.||Dynamic distributed group registry apparatus and method for collaboration and selective sharing of information|
|US6085186||Sep 19, 1997||Jul 4, 2000||Netbot, Inc.||Method and system using information written in a wrapper description language to execute query on a network|
|US6230153 *||Jun 18, 1998||May 8, 2001||International Business Machines Corporation||Association rule ranker for web site emulation|
|US6243723||May 21, 1998||Jun 5, 2001||Nec Corporation||Document classification apparatus|
|US6493703 *||May 11, 1999||Dec 10, 2002||Prophet Financial Systems||System and method for implementing intelligent online community message board|
|US6523172 *||Feb 19, 1999||Feb 18, 2003||Evolutionary Technologies International, Inc.||Parser translator system and method|
|JPH10320411A||Title not available|
|1||Alexa Releases Amazon Shopping Tool, The Search Engine Report, Dec. 6, 1999.|
|2||Atzeni, Paolo et al. (1997) "To Weave the Web" Proceedings of the 23rd VLDB Conference Athens, Greece pps 206-215.|
|3||Bickmore, Timothy W. et al. (1997) "Digestor: device-idependent access to the World Wide Web" Computer Networks and ISDN Systems 29 pps 1075-1082.|
|4||Embley, D.W. et al. (1998) "A Conceptual-Modeling Approach to Extracting Data from the Web" Internet Article Online!, pps 1-20 XP002181257.|
|5||Infoseek's earlier web interface showing Executive Summaries downloaded on Oct. 25, 1999 (www.go.com) and Infoseek's current web interface downloaded Apr. 2, 2001 (www.go.com/Center/Business_resources).|
|6||Lycos Changes Listings Format, The Search Engine Report, Dec. 6, 1999.|
|Citing Patent||Filing date||Publication date||Applicant||Title|
|US7171456 *||May 30, 2001||Jan 30, 2007||Fuji Xerox Co., Ltd.||Document data transmission device, document data transmission reception system, and document data transmission method|
|US7197365 *||Jan 26, 2005||Mar 27, 2007||Sanyo Electric Co., Ltd.||Controller, program product, and storage medium|
|US7464078||Oct 25, 2005||Dec 9, 2008||International Business Machines Corporation||Method for automatically extracting by-line information|
|US7593911||Oct 12, 2005||Sep 22, 2009||At&T Corp.||System and method for applying rule sets and rule interactions|
|US7792826 *||May 29, 2007||Sep 7, 2010||International Business Machines Corporation||Method and system for providing ranked search results|
|US7809663||May 22, 2007||Oct 5, 2010||Convergys Cmg Utah, Inc.||System and method for supporting the utilization of machine language|
|US7844563||Nov 30, 2010||At&T Intellectual Property Ii, L.P.||System and method for applying rule sets and rule interactions|
|US7870091 *||Jun 18, 2004||Jan 11, 2011||Sap Ag||Methods and systems for receiving data, selecting a condition table, selecting a ruleset based on the condition table, and determining and applying rules to data|
|US7873670||Jul 28, 2006||Jan 18, 2011||International Business Machines Corporation||Method and system for managing exemplar terms database for business-oriented metadata content|
|US7882115||Feb 1, 2011||Scott Hirsch||Method and apparatus for improved information representation|
|US7885918||Jul 28, 2006||Feb 8, 2011||International Business Machines Corporation||Creating a taxonomy from business-oriented metadata content|
|US8229971||Sep 29, 2008||Jul 24, 2012||Efrem Meretab||System and method for dynamically configuring content-driven relationships among data elements|
|US8244684 *||Aug 14, 2012||Kabushiki Kaisha Toshiba||Report searching apparatus and a method for searching a report|
|US8260619||Sep 4, 2012||Convergys Cmg Utah, Inc.||Method and system for creating natural language understanding grammars|
|US8321396||Nov 27, 2012||International Business Machines Corporation||Automatically extracting by-line information|
|US8335690||Dec 18, 2012||Convergys Customer Management Delaware Llc||Method and system for creating natural language understanding grammars|
|US8379830||Feb 19, 2013||Convergys Customer Management Delaware Llc||System and method for automated customer service with contingent live interaction|
|US8452668||Aug 12, 2009||May 28, 2013||Convergys Customer Management Delaware Llc||System for closed loop decisionmaking in an automated care system|
|US8510100 *||May 20, 2010||Aug 13, 2013||Xerox Corporation||Human readable sentences to represent complex color changes|
|US8660849||Dec 21, 2012||Feb 25, 2014||Apple Inc.||Prioritizing selection criteria by automated assistant|
|US8670979||Dec 21, 2012||Mar 11, 2014||Apple Inc.||Active input elicitation by intelligent automated assistant|
|US8670985||Sep 13, 2012||Mar 11, 2014||Apple Inc.||Devices and methods for identifying a prompt corresponding to a voice input in a sequence of prompts|
|US8676904||Oct 2, 2008||Mar 18, 2014||Apple Inc.||Electronic devices with voice command and contextual data processing capabilities|
|US8677377||Sep 8, 2006||Mar 18, 2014||Apple Inc.||Method and apparatus for building an intelligent automated assistant|
|US8682649||Nov 12, 2009||Mar 25, 2014||Apple Inc.||Sentiment prediction from textual data|
|US8682667||Feb 25, 2010||Mar 25, 2014||Apple Inc.||User profiling for selecting user specific voice input processing information|
|US8688446||Nov 18, 2011||Apr 1, 2014||Apple Inc.||Providing text input using speech data and non-speech data|
|US8706472||Aug 11, 2011||Apr 22, 2014||Apple Inc.||Method for disambiguating multiple readings in language conversion|
|US8706503||Dec 21, 2012||Apr 22, 2014||Apple Inc.||Intent deduction based on previous user interactions with voice assistant|
|US8712776||Sep 29, 2008||Apr 29, 2014||Apple Inc.||Systems and methods for selective text to speech synthesis|
|US8713021||Jul 7, 2010||Apr 29, 2014||Apple Inc.||Unsupervised document clustering using latent semantic density analysis|
|US8713119||Sep 13, 2012||Apr 29, 2014||Apple Inc.||Electronic devices with voice command and contextual data processing capabilities|
|US8718047||Dec 28, 2012||May 6, 2014||Apple Inc.||Text to speech conversion of text messages from mobile communication devices|
|US8719006||Aug 27, 2010||May 6, 2014||Apple Inc.||Combined statistical and rule-based part-of-speech tagging for text-to-speech synthesis|
|US8719014||Sep 27, 2010||May 6, 2014||Apple Inc.||Electronic device with text error correction based on voice recognition data|
|US8731942||Mar 4, 2013||May 20, 2014||Apple Inc.||Maintaining context information between user interactions with a voice assistant|
|US8751238||Feb 15, 2013||Jun 10, 2014||Apple Inc.||Systems and methods for determining the language to use for speech generated by a text to speech engine|
|US8762156||Sep 28, 2011||Jun 24, 2014||Apple Inc.||Speech recognition repair using contextual information|
|US8762469||Sep 5, 2012||Jun 24, 2014||Apple Inc.||Electronic devices with voice command and contextual data processing capabilities|
|US8768702||Sep 5, 2008||Jul 1, 2014||Apple Inc.||Multi-tiered voice feedback in an electronic device|
|US8775442||May 15, 2012||Jul 8, 2014||Apple Inc.||Semantic search using a single-source semantic model|
|US8781836||Feb 22, 2011||Jul 15, 2014||Apple Inc.||Hearing assistance system for providing consistent human speech|
|US8799000||Dec 21, 2012||Aug 5, 2014||Apple Inc.||Disambiguation based on active input elicitation by intelligent automated assistant|
|US8812294||Jun 21, 2011||Aug 19, 2014||Apple Inc.||Translating phrases from one language into another using an order-based set of declarative rules|
|US8862252||Jan 30, 2009||Oct 14, 2014||Apple Inc.||Audio user interface for displayless electronic device|
|US8879703||May 31, 2012||Nov 4, 2014||Tal Lavian||System method and device for providing tailored services when call is on-hold|
|US8892446||Dec 21, 2012||Nov 18, 2014||Apple Inc.||Service orchestration for intelligent automated assistant|
|US8898568||Sep 9, 2008||Nov 25, 2014||Apple Inc.||Audio user interface|
|US8903716||Dec 21, 2012||Dec 2, 2014||Apple Inc.||Personalized vocabulary for digital assistant|
|US8930191||Mar 4, 2013||Jan 6, 2015||Apple Inc.||Paraphrasing of user requests and results by automated digital assistant|
|US8935167||Sep 25, 2012||Jan 13, 2015||Apple Inc.||Exemplar-based latent perceptual modeling for automatic speech recognition|
|US8942986||Dec 21, 2012||Jan 27, 2015||Apple Inc.||Determining user intent based on ontologies of domains|
|US8977255||Apr 3, 2007||Mar 10, 2015||Apple Inc.||Method and system for operating a multi-function portable electronic device using voice-activation|
|US8977584||Jan 25, 2011||Mar 10, 2015||Newvaluexchange Global Ai Llp||Apparatuses, methods and systems for a digital conversation management platform|
|US8990210 *||Aug 15, 2013||Mar 24, 2015||Google Inc.||Propagating information among web pages|
|US8990218||Jun 20, 2012||Mar 24, 2015||Mcap Research Llc||System and method for dynamically configuring content-driven relationships among data elements|
|US8996376||Apr 5, 2008||Mar 31, 2015||Apple Inc.||Intelligent text-to-speech conversion|
|US9053089||Oct 2, 2007||Jun 9, 2015||Apple Inc.||Part-of-speech tagging using latent analogy|
|US9075783||Jul 22, 2013||Jul 7, 2015||Apple Inc.||Electronic device with text error correction based on voice recognition data|
|US9117447||Dec 21, 2012||Aug 25, 2015||Apple Inc.||Using event alert text as input to an automated assistant|
|US9190062||Mar 4, 2014||Nov 17, 2015||Apple Inc.||User profiling for voice input processing|
|US9262612||Mar 21, 2011||Feb 16, 2016||Apple Inc.||Device access using voice authentication|
|US9280610||Mar 15, 2013||Mar 8, 2016||Apple Inc.||Crowd sourcing information to fulfill user requests|
|US9300784||Jun 13, 2014||Mar 29, 2016||Apple Inc.||System and method for emergency calls initiated by voice command|
|US9311043||Feb 15, 2013||Apr 12, 2016||Apple Inc.||Adaptive audio feedback system and method|
|US9318108||Jan 10, 2011||Apr 19, 2016||Apple Inc.||Intelligent automated assistant|
|US9330720||Apr 2, 2008||May 3, 2016||Apple Inc.||Methods and apparatus for altering audio output signals|
|US9338493||Sep 26, 2014||May 10, 2016||Apple Inc.||Intelligent automated assistant for TV user interactions|
|US9348811 *||Apr 20, 2012||May 24, 2016||Sap Se||Obtaining data from electronic documents|
|US9361886||Oct 17, 2013||Jun 7, 2016||Apple Inc.||Providing text input using speech data and non-speech data|
|US9368114||Mar 6, 2014||Jun 14, 2016||Apple Inc.||Context-sensitive handling of interruptions|
|US20010056444 *||Apr 6, 2001||Dec 27, 2001||Motoki Ide||Communication terminal device|
|US20020143863 *||May 30, 2001||Oct 3, 2002||Fuji Xerox Co., Ltd.||Document data transmission device, document data transmission reception system, and document data transmission method|
|US20030009490 *||Jun 20, 2002||Jan 9, 2003||Tamaki Maeno||Information processing apparatus, information processing method, recording medium, program, and electronic-publishing-data providing system|
|US20040029529 *||Nov 29, 2001||Feb 12, 2004||Yuichi Kobayakawa||Server device and information processing device|
|US20050197989 *||Jan 26, 2005||Sep 8, 2005||Sanyo Electric Co., Ltd.||Controller, program product, and storage medium|
|US20050234893 *||Mar 25, 2005||Oct 20, 2005||Surfnotes, Inc.||Method and apparatus for improved information representation|
|US20050283486 *||Jun 18, 2004||Dec 22, 2005||Lauterbach Bernd G||Methods and systems for determining and applying rules to data|
|US20050283502 *||Jun 18, 2004||Dec 22, 2005||Ami Heitner||Methods and systems for reconciling data|
|US20070055680 *||Jul 28, 2006||Mar 8, 2007||Craig Statchuk||Method and system for creating a taxonomy from business-oriented metadata content|
|US20080027971 *||Jul 28, 2006||Jan 31, 2008||Craig Statchuk||Method and system for populating an index corpus to a search engine|
|US20080263095 *||Apr 23, 2007||Oct 23, 2008||Porter Iii Gilbert Brackett||Method and system for navigating electronic documents using an electronic device|
|US20080270119 *||Apr 30, 2007||Oct 30, 2008||Microsoft Corporation||Generating sentence variations for automatic summarization|
|US20080301111 *||May 29, 2007||Dec 4, 2008||Cognos Incorporated||Method and system for providing ranked search results|
|US20080306941 *||Aug 15, 2008||Dec 11, 2008||International Business Machines Corporation||System for automatically extracting by-line information|
|US20090132499 *||Nov 20, 2008||May 21, 2009||Kabushiki Kaisha Toshiba||Report searching apparatus and a method for searching a report|
|US20090234669 *||May 29, 2009||Sep 17, 2009||Bradley Fredericks||Automated Resume Evaluation System|
|US20090327198 *||Dec 31, 2009||Jeffrey Farah||System and method for applying rule sets and rule interactions|
|US20100082631 *||Apr 1, 2010||Efrem Meretab||System and method for dynamically configuring content-driven relationships among data elements|
|US20100100438 *||Oct 9, 2007||Apr 22, 2010||Addogs, Llc||Systems and methods for media-independent processing of advertisement publication information|
|US20100293036 *||May 14, 2010||Nov 18, 2010||France Telecom||Device and a method for updating a user profile|
|US20100299132 *||May 22, 2009||Nov 25, 2010||Microsoft Corporation||Mining phrase pairs from an unstructured resource|
|US20110016416 *||Jan 20, 2011||Efrem Meretab||User Interface with Navigation Controls for the Display or Concealment of Adjacent Content|
|US20110112824 *||Nov 6, 2009||May 12, 2011||Craig Peter Sayers||Determining at least one category path for identifying input text|
|US20110288854 *||May 20, 2010||Nov 24, 2011||Xerox Corporation||Human readable sentences to represent complex color changes|
|US20130282361 *||Apr 20, 2012||Oct 24, 2013||Sap Ag||Obtaining data from electronic documents|
|US20140052735 *||Aug 15, 2013||Feb 20, 2014||Daniel Egnor||Propagating Information Among Web Pages|
|US20150161247 *||Feb 16, 2015||Jun 11, 2015||Mcap Research Llc||System and method for dynamically configuring content-driven relationships among data elements|
|US20150199307 *||Aug 8, 2012||Jul 16, 2015||Google Inc.||Pluggable Architecture For Optimizing Versioned Rendering of Collaborative Documents|
|WO2011011411A1 *||Jul 20, 2010||Jan 27, 2011||Efrem Meretab||User interface with navigation controls for the display or concealment of adjacent content|
|U.S. Classification||715/800, 715/255, 704/9, 707/E17.119, 707/999.005, 707/999.01, 707/999.009|
|Cooperative Classification||Y10S707/99939, Y10S707/99943, Y10S707/99935, Y10S707/99933, G06F17/30899|
|Aug 29, 2000||AS||Assignment|
Owner name: SURFNOTES, INC., DISTRICT OF COLUMBIA
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Effective date: 20000822
|May 29, 2008||AS||Assignment|
Owner name: UNOTE INFORMATION SYSTEMS, L.L.C., DELAWARE
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:SURFNOTES, INC.;REEL/FRAME:021006/0779
Effective date: 20080326
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Year of fee payment: 4
|Apr 7, 2009||AS||Assignment|
Owner name: UNOTE INFORMATION SYSTEMS, L.L.C., DELAWARE
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:SURFNOTES, INC.;REEL/FRAME:022510/0369
Effective date: 20080326
|Jan 25, 2013||FPAY||Fee payment|
Year of fee payment: 8
|Dec 17, 2015||AS||Assignment|
Owner name: F. POSZAT HU, L.L.C., DELAWARE
Free format text: MERGER;ASSIGNOR:UNOTE INFORMATION SYSTEMS, L.L.C.;REEL/FRAME:037322/0054
Effective date: 20150812